Current Projects

• YAQQ: Novelty search on quantum gate sets
• Logic programming and circuit interpretability for quantum computing
• Machine learning control of quantum programmable matter
• Algorithmic thermodynamics of quantum circuits and programs
• Estimation of energy cost of quantum computation via complexity
• Algorithmic probability guided quantum geometric machine learning (looking for collaborators)
• Linear logic proof net based quantum circuit verification (looking for collaborators)
• Embedded knowledge seeking agent for quantum second-order cybernetics (looking for collaborators)
• Quantum algorithms for mRNA codon optimization and sequence design
• Quantum neural networks for satellite image processing

… interested in a research collaboration (or master’s thesis) within QCA/QML team on related topics? Contact me over LinkedIn.

Past Projects

(in reverse chronological order)

• An application framework for quantum accelerated causal tomography (QWorld, ‘22)
• Evolutionary resource-bounded universal reinforcement learning in quantum environments (Ph.D. research ‘22)
• Gate based quantum automata for estimation of algorithmic information (Ph.D. research ‘21)
• De novo DNA read assembly using QAOA and quantum annealing (Ph.D. research ‘20)
• Quantum algorithms for pattern-matching in genomic sequences (M.Sc. thesis ‘19)
• Quantum Innovation Environment (QuInE), a PyQT based IDE for quantum programming (TU Delft ‘18)
• Spiking neural network based associative memory neuro-evolution (TCSRI ‘18)
• Brain-inspired robotic mapping and navigation using time-series of hexagonal grid and place cells (TCSRI ‘18)
• System design of warehouse automation using multi-agent collaborative box-pushing strategies (TCSRI ‘17)
• Human brain simulation in GPU with Inferior Olive model in OpenCL and CUDA (TU Delft ‘17)
• GATK based human genome sequencing for distributed Spark platform in Scala (TU Delft ‘17)
• Fuzzing and concolic execution on RERS-2016 problems using AFL and KLEE (TU Delft ‘17)
• Optimizing a SoC using ρ-VEX VLIW processors (TU Delft ‘17)
• Enhancing the Plasma processor IP core (TU Delft ‘17)
• Accelerating object tracking in OMAP3530 application processor (TU Delft ‘17)
• Solar energy forecasting using ORCA system (TU Delft ‘17)
• Earthquake occurrence analysis and aftershock prediction using MATLAB and Tableau (TU Delft ‘17)
• Elevation mapping using stereo vision enabled heterogeneous multi-agent network (IIST ‘13)
• Self-configuring classical logic gate circuits using genetic programming in Java (IIST ‘12)
• Multi-vehicle path planning in dynamically changing environments using genetic optimised TSP (IIST ‘12)
• Computer vision based centralized multi-agent system on MATLAB and Arduino (IIST ‘11)

Selected Publications

Open access links, categorized into the 3 main fields and subfields (as tags), ordered in relevance to current work and how big the project was. For a different ordering (e.g. chronologically, or by citation) or a more complete list, check my Google Scholar profile.

Quantum computation (TU Delft)

• Visualizing Quantum Circuit Probability: Estimating Quantum State Complexity for Quantum Program Synthesis (gate-based quantum algorithms; algorithmic information theory)
• Automated Quantum Software Engineering: why? what? how? (quantum programming; quantum compilers)
• Quantum accelerated Causal Tomography: circuit considerations towards applications (gate-based quantum algorithms; causal inference)
• Applications of Quantum Computation and Algorithmic Information: for Causal Modeling in Genomics and Reinforcement Learning (PhD thesis)
• Quantum Knowledge Seeking Agent: resource-optimized reinforcement learning using quantum process tomography (gate-based quantum algorithms; reinforcement learning; universal artificial intelligence; algorithmic information theory)
• Estimating algorithmic information using quantum computing for genomics applications (algorithmic information; gate-based quantum algorithms; metabiology)
• Quantum Algorithms: for pattern-matching in genomic sequences (MSc thesis; gate-based quantum algorithms; quantum search; genomics)
• QuASeR – Quantum Accelerated De Novo DNA Sequence Reconstruction (quantum optimization; variational algorithms; quantum annealing; genomics)
• Quantum Computing: from NISQ to PISQ (quantum research methodology)
• Quantum Computer Architecture: Towards Full-Stack Quantum Accelerators (quantum computer architecture)
• Efficient decomposition of unitary matrices in quantum circuit compilers (quantum compilers)
• Efficient parameterised compilation for hybrid quantum programming (quantum compilers)
• Integration and Evaluation of Quantum Accelerators for Data-Driven User Functions (quantum computer architecture)

Robotics (IIST and TCSRI)

• Elevation mapping using stereo vision enabled heterogeneous multi-agent robotic cloud network (BTech thesis; swarm intelligence; computer vision; SLAM)
• A Brain-inspired Approach to Robotic Mapping and Navigation (neuroscience; path-planning; SLAM)
• Hazard control algorithms for heterogenous multi-agent cloud-enabled robotic network (computer networks)

Satellite systems (ISRO)

• Approaches towards standardization of software for on-board storage systems in space programs
• On-board payload data store and forward design for remote sensing satellites